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  5. Barrier Heights for Diels–Alder Transition States Leading to Pentacyclic Adducts: A Benchmark Study of Crowded, Strained Transition States of Large Molecules

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Article
en
2023

Barrier Heights for Diels–Alder Transition States Leading to Pentacyclic Adducts: A Benchmark Study of Crowded, Strained Transition States of Large Molecules

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en
2023
Vol 14 (29)
Vol. 14
DOI: 10.1021/acs.jpclett.3c01309

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Donald G Truhlar
Donald G Truhlar

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Maryam Mansoori Kermani
Hanwei Li
Alistar Ottochian
+7 more

Abstract

Theoretical characterization of reactions of complex molecules depends on providing consistent accuracy for the relative energies of intermediates and transition states. Here we employ the DLPNO-CCSD(T) method with core-valence correlation, large basis sets, and extrapolation to the CBS limit to provide benchmark values for Diels-Alder transition states leading to competitive strained pentacyclic adducts. We then used those benchmarks to test a diverse set of wave function and density functional methods for the absolute and relative barrier heights of these transition states. Our results show that only a few of the tested density functionals can predict the absolute barrier heights satisfactorily, although relative barrier heights are more accurate. The most accurate functionals tested are ωB97M-V, M11plus, ωB97X-V, PBE-D3(0), M11, and MN15 with MUDs from best estimates less than 3.0 kcal. These findings can guide selection of density functionals for future studies of crowded, strained transition states of large molecules.

How to cite this publication

Maryam Mansoori Kermani, Hanwei Li, Alistar Ottochian, Orlando Crescenzi, Benjamin G. Janesko, Giovanni Scalmani, Michael J. Frisch, Ilaria Ciofini, Carlo Adamo, Donald G Truhlar (2023). Barrier Heights for Diels–Alder Transition States Leading to Pentacyclic Adducts: A Benchmark Study of Crowded, Strained Transition States of Large Molecules. , 14(29), DOI: https://doi.org/10.1021/acs.jpclett.3c01309.

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Publication Details

Type

Article

Year

2023

Authors

10

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.1021/acs.jpclett.3c01309

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